Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines
Philippines: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.40 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Philippines is 2.40 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 5.1% on the previous year and up 48.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Philippines peaked at 2.40 million million SLC in 2024 and was at its lowest, 11,764 million SLC, in 1970.
Philippines ranks 42nd of 199 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Philippines, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 11,764 million SLC | — |
| 1971 | 14,572 million SLC | +23.9% |
| 1972 | 15,868 million SLC | +8.9% |
| 1973 | 20,972 million SLC | +32.2% |
| 1974 | 29,272 million SLC | +39.6% |
| 1975 | 32,956 million SLC | +12.6% |
| 1976 | 37,372 million SLC | +13.4% |
| 1977 | 41,869 million SLC | +12.0% |
| 1978 | 47,271 million SLC | +12.9% |
| 1979 | 55,694 million SLC | +17.8% |
| 1980 | 60,979 million SLC | +9.5% |
| 1981 | 69,771 million SLC | +14.4% |
| 1982 | 73,613 million SLC | +5.5% |
| 1983 | 81,924 million SLC | +11.3% |
| 1984 | 129,385 million SLC | +57.9% |
| 1985 | 140,481 million SLC | +8.6% |
| 1986 | 145,703 million SLC | +3.7% |
| 1987 | 163,847 million SLC | +12.5% |
| 1988 | 183,061 million SLC | +11.7% |
| 1989 | 209,483 million SLC | +14.4% |
| 1990 | 235,260 million SLC | +12.3% |
| 1991 | 260,949 million SLC | +10.9% |
| 1992 | 294,544 million SLC | +12.9% |
| 1993 | 318,111 million SLC | +8.0% |
| 1994 | 372,231 million SLC | +17.0% |
| 1995 | 411,922 million SLC | +10.7% |
| 1996 | 446,973 million SLC | +8.5% |
| 1997 | 456,195 million SLC | +2.1% |
| 1998 | 449,216 million SLC | -1.5% |
| 1999 | 508,644 million SLC | +13.2% |
| 2000 | 515,480 million SLC | +1.3% |
| 2001 | 535,358 million SLC | +3.9% |
| 2002 | 585,081 million SLC | +9.3% |
| 2003 | 620,437 million SLC | +6.0% |
| 2004 | 744,516 million SLC | +20.0% |
| 2005 | 799,871 million SLC | +7.4% |
| 2006 | 875,218 million SLC | +9.4% |
| 2007 | 979,430 million SLC | +11.9% |
| 2008 | 1.17 million million SLC | +19.3% |
| 2009 | 1.22 million million SLC | +4.4% |
| 2010 | 1.29 million million SLC | +5.9% |
| 2011 | 1.43 million million SLC | +10.7% |
| 2012 | 1.45 million million SLC | +1.3% |
| 2013 | 1.50 million million SLC | +3.8% |
| 2014 | 1.62 million million SLC | +7.8% |
| 2015 | 1.53 million million SLC | -5.4% |
| 2016 | 1.54 million million SLC | +0.7% |
| 2017 | 1.69 million million SLC | +9.2% |
| 2018 | 1.76 million million SLC | +4.5% |
| 2019 | 1.72 million million SLC | -2.3% |
| 2020 | 1.83 million million SLC | +6.2% |
| 2021 | 1.95 million million SLC | +6.9% |
| 2022 | 2.10 million million SLC | +7.7% |
| 2023 | 2.29 million million SLC | +8.6% |
| 2024 | 2.40 million million SLC | +5.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 30,761 million SLC | 11,764 million SLC | 55,694 million SLC | 10 |
| 1980s | 125,825 million SLC | 60,979 million SLC | 209,483 million SLC | 10 |
| 1990s | 375,404 million SLC | 235,260 million SLC | 508,644 million SLC | 10 |
| 2000s | 804,395 million SLC | 515,480 million SLC | 1.22 million million SLC | 10 |
| 2010s | 1.55 million million SLC | 1.29 million million SLC | 1.76 million million SLC | 10 |
| 2020s | 2.11 million million SLC | 1.83 million million SLC | 2.40 million million SLC | 5 |
Countries ranked near Philippines
More environment data for Philippines
- Historical exposure to drought — Land soil moisture anomaly 6.85 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 7.07 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.177 °C (2025)
- Temperature change 0.905 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import 75.26 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0003 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -2.37 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -5.82 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 370.59 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Philippines?
- Value added (agriculture, forestry and fishing) — value standard in Philippines was 2.40 million million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Philippines?
- The highest recorded value was 2.40 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Philippines?
- The lowest recorded value was 11,764 million SLC in 1970.
- How does Philippines rank for value added (agriculture, forestry and fishing) — value standard?
- Philippines ranks 42nd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Philippines?
- Over the last ten years it is up 48.2%. The long-run trend across the full record is volatile.
- Where does this Philippines data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).